Designing a Dataset for Convolutional Neural Networks to Predict Space
Groups Consistent with Extinction Laws
Designing a Dataset for Convolutional Neural Networks to Predict Space
Groups Consistent with Extinction Laws
In this paper, we utilize a dataset composed of one-dimensional powder diffraction patterns to train Convolutional Neural Networks for predicting space groups. We used a new strategy to design the dataset, the diffraction pattern was calculated based the lattice parameters and the Extinction Laws, instead of the traditional strategy that …